The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-04"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "6632985 (up from 6508635 yesterday: 1.91 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "391136 (up from 385947 yesterday: 1.34 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.9



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1872660 21140 1.14 108211 1036 0.97 5.78
Brazil 614941 30925 5.30 34021 1473 4.53 5.53
Russia 440538 8823 2.04 5376 168 3.23 1.22
United Kingdom 283079 1809 0.64 39987 176 0.44 14.13
Spain 240660 334 0.14 27133 5 0.02 11.27
Italy 234013 177 0.08 33689 88 0.26 14.40
India 226713 9889 4.56 6363 275 4.52 2.81
France 189569 -2761 -1.44 29068 44 0.15 15.33
Germany 184472 351 0.19 8635 33 0.38 4.68
Peru 183198 4284 2.39 5031 137 2.80 2.75
Turkey 167410 988 0.59 4630 21 0.46 2.77
Iran 164270 3574 2.22 8071 59 0.74 4.91
Chile 118292 4664 4.10 1356 81 6.35 1.15
Mexico 105680 4442 4.39 12545 816 6.96 11.87
Canada 95269 628 0.66 7717 138 1.82 8.10
Saudi Arabia 93157 1975 2.17 611 32 5.53 0.66
Pakistan 85264 4801 5.97 1770 82 4.86 2.08
China 84171 11 0.01 4638 0 0.00 5.51
Qatar 63741 1581 2.54 45 0 0.00 0.07
Belgium 58767 82 0.14 9548 26 0.27 16.25
Bangladesh 57563 2423 4.39 781 35 4.69 1.36
Netherlands 47148 209 0.45 6009 13 0.22 12.74
Belarus 45981 865 1.92 253 5 2.02 0.55
Sweden 41883 1080 2.65 4562 20 0.44 10.89
Ecuador 40966 0 0.00 3486 0 0.00 8.51
South Africa 40792 3267 8.71 848 56 7.07 2.08
United Arab Emirates 37018 659 1.81 273 3 1.11 0.74
Singapore 36922 517 1.42 24 0 0.00 0.07
Portugal 33592 331 1.00 1455 8 0.55 4.33
Colombia 33466 1531 4.79 1099 42 3.97 3.28
Switzerland 30913 20 0.06 1921 0 0.00 6.21
Kuwait 29921 562 1.91 236 6 2.61 0.79
Egypt 29767 1152 4.03 1126 38 3.49 3.78
Indonesia 28818 585 2.07 1721 23 1.35 5.97
Ukraine 25981 596 2.35 755 13 1.75 2.91
Ireland 25142 31 0.12 1664 5 0.30 6.62
Poland 25048 361 1.46 1117 2 0.18 4.46
Philippines 20382 634 3.21 984 10 1.03 4.83
Argentina 20197 929 4.82 608 25 4.29 3.01
Romania 19907 238 1.21 1305 9 0.69 6.56
Dominican Republic 18319 279 1.55 520 4 0.78 2.84
Afghanistan 18054 787 4.56 300 6 2.04 1.66
Israel 17495 118 0.68 291 0 0.00 1.66
Japan 16911 44 0.26 911 6 0.66 5.39
Austria 16805 34 0.20 670 0 0.00 3.99
Panama 15044 435 2.98 363 6 1.68 2.41
Oman 14316 779 5.75 67 0 0.00 0.47
Bahrain 13296 481 3.75 21 1 5.00 0.16
Bolivia 12245 607 5.22 415 15 3.75 3.39
Kazakhstan 12067 0 0.00 52 4 8.33 0.43
Denmark 12011 40 0.33 582 2 0.34 4.85
Korea, South 11668 39 0.34 273 0 0.00 2.34
Serbia 11571 48 0.42 246 1 0.41 2.13
Nigeria 11516 350 3.13 323 8 2.54 2.80
Armenia 11221 697 6.62 176 6 3.53 1.57
Algeria 9831 98 1.01 681 8 1.19 6.93
Czechia 9494 56 0.59 326 1 0.31 3.43
Moldova 9018 223 2.54 315 5 1.61 3.49
Ghana 8885 337 3.94 38 0 0.00 0.43
Iraq 8840 672 8.23 271 15 5.86 3.07
Norway 8504 27 0.32 238 1 0.42 2.80
Malaysia 8247 277 3.48 115 0 0.00 1.39
Morocco 8003 81 1.02 208 2 0.97 2.60
Australia 7247 7 0.10 102 0 0.00 1.41
Finland 6911 0 0.00 322 1 0.31 4.66
Cameroon 6789 204 3.10 203 3 1.50 2.99
Azerbaijan 6522 262 4.19 78 2 2.63 1.20
Guatemala 6154 394 6.84 158 15 10.49 2.57
Honduras 5880 190 3.34 243 9 3.85 4.13
Sudan 5714 215 3.91 333 19 6.05 5.83

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 375133 1048 0.28 30174 155 0.52 8.04 19283.51 1551.08 1 in 52
New Jersey 162530 462 0.29 11970 90 0.76 7.36 18298.42 1347.64 1 in 55
Illinois 124759 929 0.75 5736 115 2.05 4.60 9845.39 452.66 1 in 102
California 122168 2820 2.36 4444 70 1.60 3.64 3091.90 112.47 1 in 323
Massachusetts 102063 471 0.46 7201 49 0.69 7.06 14686.37 1036.19 1 in 68
Pennsylvania 78335 555 0.71 5832 90 1.57 7.44 6118.97 455.55 1 in 163
Texas 70555 1678 2.44 1776 32 1.83 2.52 2433.28 61.25 1 in 411
Florida 60183 1419 2.41 2607 41 1.60 4.33 2802.11 121.38 1 in 357
Michigan 58241 206 0.35 5595 25 0.45 9.61 5831.76 560.24 1 in 171
Maryland 55858 876 1.59 2668 27 1.02 4.78 9239.32 441.31 1 in 108
Georgia 49859 965 1.97 2149 26 1.22 4.31 4695.96 202.40 1 in 213
Virginia 47856 951 2.03 1445 17 1.19 3.02 5606.69 169.29 1 in 178
Connecticut 43239 148 0.34 4007 18 0.45 9.27 12127.78 1123.89 1 in 82
Louisiana 41562 429 1.04 2883 13 0.45 6.94 8940.38 620.16 1 in 112
Ohio 37282 490 1.33 2340 40 1.74 6.28 3189.47 200.19 1 in 314
Indiana 36096 384 1.08 2231 24 1.09 6.18 5361.68 331.39 1 in 187
North Carolina 32075 799 2.55 1006 7 0.70 3.14 3058.23 95.92 1 in 327
Colorado 27346 300 1.11 1512 18 1.20 5.53 4748.61 262.56 1 in 211
Minnesota 26273 403 1.56 1126 29 2.64 4.29 4658.64 199.66 1 in 215
Tennessee 25190 357 1.44 401 13 3.35 1.59 3686.43 58.68 1 in 271
Arizona 22886 530 2.37 999 16 1.63 4.37 3005.43 131.19 1 in 333
Washington 22729 245 1.09 1138 3 0.26 5.01 2984.81 149.44 1 in 335
Iowa 20806 506 2.49 583 9 1.57 2.80 6594.47 184.78 1 in 152
Wisconsin 19892 492 2.54 626 10 1.62 3.15 3416.44 107.52 1 in 293
Alabama 19072 221 1.17 653 0 0.00 3.42 3889.72 133.18 1 in 257
Mississippi 16560 238 1.46 794 12 1.53 4.79 5564.24 266.79 1 in 180
Rhode Island 15325 106 0.70 756 14 1.89 4.93 14466.27 713.64 1 in 69
Nebraska 15139 254 1.71 187 17 10.00 1.24 7826.17 96.67 1 in 128
Missouri 14438 249 1.75 795 4 0.51 5.51 2352.45 129.53 1 in 425
South Carolina 12415 0 0.00 501 0 0.00 4.04 2411.28 97.31 1 in 415
Utah 10813 316 3.01 117 0 0.00 1.08 3372.78 36.49 1 in 296
Kentucky 10705 295 2.83 458 8 1.78 4.28 2396.10 102.51 1 in 417
Kansas 10167 75 0.74 227 1 0.44 2.23 3489.84 77.92 1 in 287
Delaware 9746 34 0.35 386 11 2.93 3.96 10008.59 396.40 1 in 100
Nevada 9129 178 1.99 430 -1 -0.23 4.71 2963.81 139.60 1 in 337
District of Columbia 9120 104 1.15 475 2 0.42 5.21 12922.44 673.04 1 in 77
Arkansas 8425 358 4.44 151 9 6.34 1.79 2791.75 50.04 1 in 358
New Mexico 8353 213 2.62 383 8 2.13 4.59 3983.63 182.66 1 in 251
Oklahoma 6907 102 1.50 344 3 0.88 4.98 1745.53 86.94 1 in 573
South Dakota 5247 85 1.65 64 2 3.23 1.22 5931.10 72.34 1 in 169
New Hampshire 4876 81 1.69 273 8 3.02 5.60 3586.06 200.78 1 in 279
Puerto Rico 4508 485 12.06 140 0 0.00 3.11 1411.53 43.84 1 in 708
Oregon 4474 75 1.70 159 0 0.00 3.55 1060.76 37.70 1 in 943
Idaho 2990 57 1.94 83 0 0.00 2.78 1668.47 46.32 1 in 599
North Dakota 2706 27 1.01 66 0 0.00 2.44 3550.89 86.61 1 in 282
Maine 2446 28 1.16 95 0 0.00 3.88 1819.65 70.67 1 in 550
West Virginia 2102 25 1.20 79 1 1.28 3.76 1176.18 44.20 1 in 850
Vermont 1026 36 3.64 55 0 0.00 5.36 1644.26 88.14 1 in 608
Wyoming 921 6 0.66 17 0 0.00 1.85 1591.34 29.37 1 in 628
Hawaii 655 2 0.31 17 0 0.00 2.60 462.61 12.01 1 in 2162
Montana 539 14 2.67 17 0 0.00 3.15 504.31 15.91 1 in 1983
Alaska 512 8 1.59 10 0 0.00 1.95 699.89 13.67 1 in 1429

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2293032 375133 16.36 117872.10
New Jersey 857729 162530 18.95 96567.29
Illinois 982016 124759 12.70 77496.04
California 2182671 122168 5.60 55240.40
Massachusetts 624935 102063 16.33 89925.14
Pennsylvania 491502 78335 15.94 38392.63
Texas 1038555 70555 6.79 35817.33
Florida 1107043 60183 5.44 51543.75
Michigan 608983 58241 9.56 60978.44
Maryland 337018 55858 16.57 55745.26
Georgia 496331 49859 10.05 46746.84
Virginia 353590 47856 13.53 41425.72
Connecticut 281525 43239 15.36 78962.79
Louisiana 411186 41562 10.11 88450.04
Ohio 437251 37282 8.53 37406.73
Indiana 285234 36096 12.65 42368.50
North Carolina 468302 32075 6.85 44650.86
Colorado 197200 27346 13.87 34243.63
Minnesota 275622 26273 9.53 48872.34
Tennessee 476138 25190 5.29 69680.36
Arizona 249755 22886 9.16 32798.23
Washington 377327 22729 6.02 49551.19
Iowa 174935 20806 11.89 55445.68
Wisconsin 311259 19892 6.39 53458.57
Alabama 235299 19072 8.11 47989.01
Mississippi 184985 16560 8.95 62155.83
Rhode Island 165923 15325 9.24 156625.55
Nebraska 112255 15139 13.49 58030.67
Missouri 218661 14438 6.60 35627.46
South Carolina 230851 12415 5.38 44836.63
Utah 227507 10813 4.75 70963.81
Kentucky 235925 10705 4.54 52807.13
Kansas 108053 10167 9.41 37089.38
Delaware 65909 9746 14.79 67684.78
Nevada 161423 9129 5.66 52407.41
District of Columbia 51096 9120 17.85 72399.68
Arkansas 142480 8425 5.91 47212.81
New Mexico 212996 8353 3.92 101580.05
Oklahoma 211722 6907 3.26 53506.08
South Dakota 52622 5247 9.97 59482.81
New Hampshire 75965 4876 6.42 55868.49
Puerto Rico 4508 4508 100.00 1411.53
Oregon 139312 4474 3.21 33030.03
Idaho 49805 2990 6.00 27791.96
North Dakota 75744 2706 3.57 99393.49
Maine 56201 2446 4.35 41809.63
West Virginia 106049 2102 1.98 59339.83
Vermont 37834 1026 2.71 60632.48
Wyoming 26989 921 3.41 46632.54
Hawaii 50638 655 1.29 35764.53
Montana 44642 539 1.21 41769.20
Alaska 60097 512 0.85 82150.79

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 77793 2933 3.92 33681 43.30 41402 2710 123 4.75 3.48
Tamil Nadu 27256 1384 5.35 14901 54.67 12132 223 15 7.21 0.82
Delhi 25004 1359 5.75 9898 39.59 14447 659 44 7.15 2.64
Gujarat 18609 492 2.72 12667 68.07 4787 1155 33 2.94 6.21
Rajasthan 9862 210 2.18 7104 72.03 2545 213 4 1.91 2.16
Uttar Pradesh 9237 367 4.14 5439 58.88 3553 245 15 6.52 2.65
Madhya Pradesh 8762 174 2.03 5637 64.33 2748 377 6 1.62 4.30
State Unassigned 7610 127 1.70 0 0.00 7610 0 0 NaN 0.00
West Bengal 6876 368 5.65 2768 40.26 3753 355 10 2.90 5.16
Bihar 4452 126 2.91 2120 47.62 2304 28 3 12.00 0.63
Karnataka 4320 257 6.33 1610 37.27 2651 57 4 7.55 1.32
Andhra Pradesh 4112 141 3.55 2529 61.50 1512 71 3 4.41 1.73
Haryana 3281 327 11.07 1123 34.23 2134 24 1 4.35 0.73
Telangana 3147 127 4.21 1587 50.43 1455 105 6 6.06 3.34
Jammu and Kashmir 3142 285 9.98 1048 33.35 2059 35 1 2.94 1.11
Odisha 2478 90 3.77 1481 59.77 988 9 0 0.00 0.36
Punjab 2415 39 1.64 2043 84.60 325 47 0 0.00 1.95
Assam 2116 285 15.57 460 21.74 1649 4 0 0.00 0.19
Kerala 1589 94 6.29 690 43.42 884 15 3 25.00 0.94
Uttarakhand 1153 68 6.27 297 25.76 842 10 2 25.00 0.87
Jharkhand 827 63 8.25 366 44.26 455 6 1 20.00 0.73
Chhattisgarh 773 147 23.48 206 26.65 565 2 1 100.00 0.26
Tripura 646 73 12.74 173 26.78 473 0 0 NaN 0.00
Himachal Pradesh 383 24 6.69 175 45.69 199 6 0 0.00 1.57
Chandigarh 302 1 0.33 222 73.51 75 5 0 0.00 1.66
Goa 166 40 31.75 57 34.34 109 0 0 NaN 0.00
Manipur 124 16 14.81 38 30.65 86 0 0 NaN 0.00
Ladakh 94 4 4.44 48 51.06 45 1 0 0.00 1.06
Nagaland 94 36 62.07 0 0.00 94 0 0 NaN 0.00
Puducherry 90 2 2.27 33 36.67 57 0 0 NaN 0.00
Arunachal Pradesh 42 5 13.51 1 2.38 41 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 33 0 0.00 13 39.39 19 1 0 0.00 3.03
Mizoram 22 5 29.41 1 4.55 21 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 14 3 27.27 1 7.14 13 0 0 NaN 0.00
Sikkim 2 0 0.00 0 0.00 2 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 780887 89526 84 0.09 11.46 2954 125 20224 16201 18.10
Piemonte 331241 30758 24 0.08 9.29 808 43 4556 3910 12.71
Emilia-Romagna 341710 27860 18 0.06 8.15 320 49 2688 4154 14.91
Veneto 706475 19168 4 0.02 2.71 97 2 1319 1934 10.09
Toscana 262762 10122 1 0.01 3.85 65 24 883 1059 10.46
Liguria 111587 9772 21 0.22 8.76 149 6 394 1479 15.14
Lazio 265380 7764 11 0.14 2.93 488 51 2754 750 9.66
Marche 110077 6738 3 0.04 6.12 52 5 1303 988 14.66
Campania 210001 4822 1 0.02 2.30 160 5 830 420 8.71
Puglia 125049 4503 4 0.09 3.60 131 9 967 514 11.41
P.A. Trento 91631 4433 0 0.00 4.84 14 1 207 464 10.47
Sicilia 157868 3447 0 0.00 2.18 57 6 879 276 8.01
Friuli Venezia Giulia 138942 3279 3 0.09 2.36 34 2 213 336 10.25
Abruzzo 79720 3255 3 0.09 4.08 109 3 704 415 12.75
P.A. Bolzano 68513 2598 0 0.00 3.79 7 2 112 292 11.24
Umbria 73204 1431 0 0.00 1.95 15 2 31 76 5.31
Sardegna 59556 1357 0 0.00 2.28 12 1 108 131 9.65
Valle d’Aosta 15512 1187 0 0.00 7.65 9 0 10 143 12.05
Calabria 73072 1158 0 0.00 1.58 19 0 102 97 8.38
Molise 15261 436 0 0.00 2.86 0 2 125 23 5.28
Basilicata 31096 399 0 0.00 1.28 3 0 20 27 6.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 52143 259 0.50 4885 91 1.90 9.37 6107.40 572.17 1 in 164
Ontario 30946 343 1.12 2436 44 1.84 7.87 2103.48 165.58 1 in 475
Alberta 7091 15 0.21 146 1 0.69 2.06 1606.79 33.08 1 in 622
British Columbia 2632 9 0.34 166 0 0.00 6.31 514.98 32.48 1 in 1942
Nova Scotia 1058 0 0.00 61 1 1.67 5.77 1082.40 62.41 1 in 924
Saskatchewan 648 1 0.15 11 0 0.00 1.70 548.38 9.31 1 in 1824
Manitoba 298 0 0.00 7 0 0.00 2.35 216.33 5.08 1 in 4623
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 136 1 0.74 1 1 Inf 0.74 174.36 1.28 1 in 5735
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1598 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1099 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 677 7 1.03
Jiangsu 653 0 0.00
Beijing 594 9 1.52
Chongqing 579 6 1.04
Sichuan 578 3 0.52
Fujian 358 1 0.28
Hebei 328 6 1.83
Shaanxi 309 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 235 1 0.43
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 5723.29 330.72 1 in 175
Brazil 2938.08 162.55 1 in 340
Russia 3048.71 37.20 1 in 328
United Kingdom 4260.67 601.85 1 in 235
Spain 5157.74 581.50 1 in 194
Italy 3869.26 557.03 1 in 258
India 169.32 4.75 1 in 5906
France 2829.81 433.92 1 in 353
Germany 2228.19 104.30 1 in 449
Peru 5694.68 156.39 1 in 176
Turkey 2071.65 57.29 1 in 483
Iran 2024.03 99.45 1 in 494
Chile 6553.57 75.12 1 in 153
Mexico 817.96 97.10 1 in 1223
Canada 2534.42 205.29 1 in 395
Saudi Arabia 2828.08 18.55 1 in 354
Pakistan 432.81 8.98 1 in 2310
China 60.73 3.35 1 in 16466
Qatar 24153.47 17.05 1 in 41
Belgium 5155.00 837.54 1 in 194

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 205406 21752 10.59
Cook Illinois 80713 3846 4.77
Los Angeles California 59692 2532 4.24
Nassau New York 40713 2132 5.24
Suffolk New York 40153 1916 4.77
Westchester New York 33767 1385 4.10
Philadelphia Pennsylvania 23281 1394 5.99
Middlesex Massachusetts 22485 1689 7.51
Wayne Michigan 20590 2492 12.10
Hudson New Jersey 18875 1199 6.35
Suffolk Massachusetts 18790 913 4.86
Miami-Dade Florida 18779 746 3.97
Bergen New Jersey 18408 1603 8.71
Essex New Jersey 17912 1694 9.46
Passaic New Jersey 16311 954 5.85
Middlesex New Jersey 16072 1015 6.32
Union New Jersey 15953 1088 6.82
Prince George’s Maryland 15940 580 3.64
Fairfield Connecticut 15843 1293 8.16
Essex Massachusetts 14969 986 6.59
Harris Texas 13603 247 1.82
Rockland New York 13280 655 4.93
Montgomery Maryland 12226 636 5.20
Fairfax Virginia 11815 403 3.41
New Haven Connecticut 11582 992 8.57
Worcester Massachusetts 11529 806 6.99
Dallas Texas 11243 250 2.22
Maricopa Arizona 11229 471 4.19
Providence Rhode Island 11052 0 0.00
Hartford Connecticut 10636 1266 11.90
Orange New York 10471 444 4.24
Marion Indiana 10095 598 5.92
District of Columbia District of Columbia 9120 475 5.21
Ocean New Jersey 8900 763 8.57
Hennepin Minnesota 8867 641 7.23
Norfolk Massachusetts 8625 854 9.90
Lake Illinois 8584 330 3.84
Oakland Michigan 8438 1006 11.92
Milwaukee Wisconsin 8388 316 3.77
Monmouth New Jersey 8379 627 7.48
King Washington 8318 574 6.90
Riverside California 8303 345 4.16
Plymouth Massachusetts 8282 579 6.99
DuPage Illinois 7939 392 4.94
San Diego California 7798 283 3.63
Jefferson Louisiana 7763 455 5.86
Bristol Massachusetts 7508 452 6.02
Broward Florida 7462 325 4.36
Montgomery Pennsylvania 7351 713 9.70
Orleans Louisiana 7192 511 7.11

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc